neural-networks
There are 11927 repositories under neural-networks topic.
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
machine_learning_complete
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
kaolin
A PyTorch Library for Accelerating 3D Deep Learning Research
edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
DeepLearningProject
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
Flux.jl
Relax! Flux is the ML library that doesn't make you tensor
machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
pytorch-forecasting
Time series forecasting with PyTorch
machine_learning_basics
Plain python implementations of basic machine learning algorithms
probability
Probabilistic reasoning and statistical analysis in TensorFlow
llm-foundry
LLM training code for Databricks foundation models
dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
learning-to-learn
Learning to Learn in TensorFlow
coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Lasagne
Lightweight library to build and train neural networks in Theano
machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
ml-workspace
🛠 All-in-one web-based IDE specialized for machine learning and data science.
hummingbird
Hummingbird compiles trained ML models into tensor computation for faster inference.
GAT
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
deep-learning-papers
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
igel
a delightful machine learning tool that allows you to train, test, and use models without writing code
dm-haiku
JAX-based neural network library
pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
keras-vis
Neural network visualization toolkit for keras
BigGAN-PyTorch
The author's officially unofficial PyTorch BigGAN implementation.
awesome-deep-learning-music
List of articles related to deep learning applied to music
deepjazz
Deep learning driven jazz generation using Keras & Theano!
handtrack.js
A library for prototyping realtime hand detection (bounding box), directly in the browser.
neuralcoref
✨Fast Coreference Resolution in spaCy with Neural Networks
knockknock
🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
machine-learning
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
trulens
Evaluation and Tracking for LLM Experiments and AI Agents
lc0
Open source neural network chess engine with GPU acceleration and broad hardware support.
cs229-2018-autumn
All notes and materials for the CS229: Machine Learning course by Stanford University
ZoeDepth
Metric depth estimation from a single image